rcbaModel2CustomCBAModel

rcbaModel

specification of cutpoints applied on the data before they were passed to <code>rCBA::build</code>

cutPoints

classAtt

the raw data (before discretization). This dataset is used to guess attribute types if attTypes is not passed

rawDataset

vector of attribute types of the original data. If set to null, you need to pass rawDataset.

attTypes

Creates instance of <a rd-options="" href="/link/customCBARuleModel?package=qCBA&version=0.3" data-mini-rdoc="qCBA::customCBARuleModel">customCBARuleModel</a> class based on model created by the rCBA package.
Instance of <a rd-options="" href="/link/customCBARuleModel?package=qCBA&version=0.3" data-mini-rdoc="qCBA::customCBARuleModel">customCBARuleModel</a> can then be passed to <a rd-options="qCBA" href="/link/qcba?package=qCBA&version=0.3&to=qCBA" data-mini-rdoc="qCBA::qcba">qcba</a> instead of an instance of <a rd-options="" href="/link/CBARuleModel?package=qCBA&version=0.3" data-mini-rdoc="qCBA::CBARuleModel">CBARuleModel</a>,
which is created with the arc package.

CBA postprocessing algorithm that creates smaller models for datasets containing quantitative (numerical) attributes. Article describing QCBA is published in Tomas Kliegr (2017) <arXiv:1711.10166>.

Tomas Kliegr

qCBA

Quantitative Classification by Association Rules

rcbaModel2CustomCBAModel function

Creates instance of <a rd-options='' href='customCBARuleModel'>customCBARuleModel</a> class based on model created by the rCBA package.
Instance of <a rd-options='' href='customCBARuleModel'>customCBARuleModel</a> can then be passed to <a rd-options='qCBA' href='qcba'>qcba</a> instead of an instance of <a rd-options='' href='CBARuleModel'>CBARuleModel</a>,
which is created with the arc package.

rcbaModel2CustomCBAModel: rcbaModel2CustomCBAModel Converts a model created by rCBA so that it can be passed to qCBA

Description

Usage

Arguments